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简介
准备好释放数据的威力了吗?通过这本《Hadoop**指南(影印版第4版修订版)(英文版)》，你将会学习到如何通过ApacheHadoop建立和维护可靠的、可扩展的分布式系统。本书是期望分析任意大小的数据集的程序员以及想建立和运行Hadoop集群的管理员的理想选择。 在这本面向Hadoop2的新版书籍中，作者怀特增加了关于YARN和一些Hadoop相关项目，如Parquet、Flume、Crunch和Spark的新章节。你将会了解到Hadoop版本的*新变化，并且研究在医疗健康系统和基因数据处理中Hadoop的应用案例。
目录
Foreword
Preface
Part Ⅰ.HadoopFundamentals
1.Meet Hadoop
2.MapReduce
3.The Hadoop Distributed Filesystem
4.YARN
5.Hadoop I/O
Part Ⅱ.MapReduce
6.Developing a MapReduce Application
7.How MapReduce Works
8.MapReduce Types and Formats
9.MapReduce Features
Part Ⅲ.HadoopOperations
10.Setting Up a Hadoop Cluster
11.Adminstering Hadoop
Part Ⅳ.Related Projects
12.Avro
13.Parquet
14.Flume
15.Sqoop
16.Pig
17.Hive
18.Crunch
19.Spark
20.HBase
21.ZooKeeper
Part Ⅴ.Case Studies
22.Composable Data at Cerner.
23.Biological Data Science: Saving Lives with Software
24.Cascading
A.Installing Apache Hadoop
B.Cloudera's Distribution Including Apache Hadoop
C.Preparing the NCDC Weather Data
D.The Old and New Java MapReduce APIs
Index
Preface
Part Ⅰ.HadoopFundamentals
1.Meet Hadoop
2.MapReduce
3.The Hadoop Distributed Filesystem
4.YARN
5.Hadoop I/O
Part Ⅱ.MapReduce
6.Developing a MapReduce Application
7.How MapReduce Works
8.MapReduce Types and Formats
9.MapReduce Features
Part Ⅲ.HadoopOperations
10.Setting Up a Hadoop Cluster
11.Adminstering Hadoop
Part Ⅳ.Related Projects
12.Avro
13.Parquet
14.Flume
15.Sqoop
16.Pig
17.Hive
18.Crunch
19.Spark
20.HBase
21.ZooKeeper
Part Ⅴ.Case Studies
22.Composable Data at Cerner.
23.Biological Data Science: Saving Lives with Software
24.Cascading
A.Installing Apache Hadoop
B.Cloudera's Distribution Including Apache Hadoop
C.Preparing the NCDC Weather Data
D.The Old and New Java MapReduce APIs
Index
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